RRepoGEO

REPOGEO REPORT · LITE

KunAgent/Kun

Default branch master · commit a4c91b31 · scanned 6/13/2026, 10:21:16 PM

GitHub: 4,001 stars · 349 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface KunAgent/Kun, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening statement to clearly define Kun as an AI agent workspace application

    Why:

    CURRENT
    探索需求先行的下一代 coding 范式。
    COPY-PASTE FIX
    Kun 是一款面向需求先行的 AI Agent 工作区应用，它将需求澄清、设计、计划、Agent 编码和文档写作整合到一个连续的 GUI 工作流中。
  • mediumlicense#2
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    本项目遵循 [LICENSE 文件](./LICENSE) 中指定的条款进行许可。

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface KunAgent/Kun
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. Replit AI · recommended 2×
  3. GitHub Copilot Workspace · recommended 1×
  4. Continue.dev · recommended 1×
  5. CodiumAI · recommended 1×
  • CATEGORY QUERY
    Looking for an AI agent workspace to manage coding tasks from design to implementation.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. GitHub Copilot Workspace
    3. Continue.dev
    4. Replit AI
    5. CodiumAI
    6. Fine
    7. Tabnine

    AI recommended 7 alternatives but never named KunAgent/Kun. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools help with both code generation and comprehensive documentation writing?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Cursor
    3. Tabnine Pro/Enterprise
    4. Codeium
    5. Replit AI
    6. OpenAI API
    7. LangChain
    8. LlamaIndex

    AI recommended 8 alternatives but never named KunAgent/Kun. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of KunAgent/Kun?
    pass
    AI named KunAgent/Kun explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts KunAgent/Kun in production, what risks or prerequisites should they evaluate first?
    pass
    AI named KunAgent/Kun explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo KunAgent/Kun solve, and who is the primary audience?
    pass
    AI named KunAgent/Kun explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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